Piperic Business Intelligence
similar sites
‹ profile

Sites similar to kanaidn.com

Home - KANA · ranked by category · tech stack · backlink co-citation
74match
javawafel.com
Home -
1 co-citations6 shared tech1 shared categoryfood-and-drink
74match
baqalasamahulhazam.com
Home -
1 co-citations7 shared tech1 shared categoryfood-and-drink
72match
dewsfoodz.com
Home - DewsFoodz
1 co-citations7 shared tech1 shared categoryfood-and-drink
72match
a-naturals.com
Home - http://a-naturals.com
1 co-citations8 shared tech1 shared categoryfood-and-drink
71match
cepatkopi.com
Home - Cepat Kopi Kilat
1 co-citations7 shared tech1 shared categorynon-alcoholic-beverages
71match
mamudelivery.com
HOME -
1 co-citations5 shared tech1 shared categoryfood-and-drink
71match
handcyaat.com
Home - HandCyaat
1 co-citations8 shared tech1 shared categoryfood-and-drink
70match
lareserveny.com
Home - LARESERVENY
1 co-citations6 shared tech1 shared categorydesserts-and-baking
70match
jamusehati.com
Home - JamuSehati
1 co-citations7 shared tech1 shared categoryfood-and-drink
69match
aromikafoods.com
Home • aromikafoods.com
1 co-citations9 shared tech1 shared categoryfood-and-drink
68match
bakeandblendcafe.com
Main Home - Bake Blend Cafe
1 co-citations7 shared tech1 shared categoryfood-and-drink
68match
dice-qtr.com
DICE QATAR
1 co-citations8 shared tech1 shared categoryfood-and-drink
68match
georges-konditorei.com
GEORGE´s Konditorei – German Finest Cakes
1 co-citations8 shared tech1 shared categorydesserts-and-baking
68match
majestic-dates.com
Home - Majestic Dates
1 co-citations6 shared tech1 shared categoryfood-and-drink
68match
aromaofitaly.com
AROMA OF ITALY – Your Coffee Store
1 co-citations8 shared tech1 shared categoryfood-and-drink
67match
kekayoncoffee.com
Kekayon Coffee
1 co-citations7 shared tech1 shared categorynon-alcoholic-beverages
67match
hboubna.com
HBOUBNA – All kind of Beans & Peppers & Dry Nuts
1 co-citations7 shared tech1 shared categoryfood-and-drink
67match
feastverse.com
Home - FeastVerse – Explore Top Foods, Recipes & Culinary Stories
1 co-citations6 shared tech1 shared categoryfood-and-drink

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.